Triple
T18687039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huancayo Province |
E456894
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Huancayo |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Huancayo | Statement: [Huancayo Province, seat, Huancayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huancayo Context triple: [Huancayo Province, seat, Huancayo]
-
A.
Huancayo
chosen
Huancayo is a major city in the central highlands of Peru, known as a commercial and cultural hub of the Mantaro Valley.
-
B.
Abancay
Abancay is a city in the Andean highlands of Peru, serving as the capital of the Apurímac Region and known for its mild climate and surrounding mountainous landscapes.
-
C.
Chivay
Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
-
D.
Chanchamayo city
Chanchamayo city is an urban center in central Peru known as a gateway to the country’s high jungle region, noted for its coffee production, lush landscapes, and diverse indigenous cultures.
-
E.
Huánuco city
Huánuco city is a regional capital in central Peru known for its mild climate and proximity to important archaeological sites such as Kotosh.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2d9a24819098c8e963ee430437 |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.